[Admin maintenance] Support new ZeroGPU hardware (#6)

- [Admin maintenance] Support new ZeroGPU hardware (66c3c86241479eb8dd0aa96833ac37a5734e1355)
- Bump gradio sdk_version to 5.49.1 (fixes /info gradio_client schema crash) (e85014b279abdc0c6756dbf1a20ec0833a7bb876)

README.md

@@ -4,8 +4,8 @@ emoji: 🏃
 colorFrom: gray
 colorTo: yellow
 sdk: gradio
-sdk_version: 5.5.0
-python_version: 3.8.9
+sdk_version: 5.49.1
+python_version: 3.10.13
 app_file: app.py
 pinned: false
 license: bsd-2-clause

app.py

@@ -4,10 +4,47 @@ import sys
 import uuid
 import warnings
 
+import spaces
+
+# Stub huggingface_hub symbols removed in 0.26+ that diffusers 0.24 still imports.
+# We keep diffusers 0.24 (the vendored models_diffusers/ uses APIs removed in 0.30+),
+# but gradio 5.49.1 requires huggingface-hub >= 0.33.5 which dropped HfFolder/cached_download/hf_cache_home.
+# NOTE: huggingface_hub uses lazy __getattr__, so `hasattr` returns False even when the attribute
+# is "exposed" lazily. We probe with attribute access in a try/except instead.
+import huggingface_hub as _hf_hub
+import huggingface_hub.constants as _hf_hub_constants
+try:
+    _hf_hub_constants.hf_cache_home
+except AttributeError:
+    _hf_hub_constants.hf_cache_home = _hf_hub_constants.HF_HOME
+try:
+    _hf_hub.cached_download
+except AttributeError:
+    def _cached_download_removed(*a, **k):
+        raise NotImplementedError(
+            "huggingface_hub.cached_download was removed in 0.26. "
+            "This stub satisfies diffusers 0.24's import; "
+            "the function is only used for GitHub community-pipeline downloads which Framer does not invoke."
+        )
+    _hf_hub.cached_download = _cached_download_removed
+try:
+    _hf_hub.HfFolder
+except AttributeError:
+    class _HfFolderShim:
+        @staticmethod
+        def get_token():
+            try:
+                return _hf_hub.get_token()
+            except Exception:
+                return None
+        @staticmethod
+        def save_token(token):
+            pass
+    _hf_hub.HfFolder = _HfFolderShim
+
 import cv2
 import gradio as gr
 import numpy as np
-import spaces
 import torch
 import torchvision
 from huggingface_hub import snapshot_download

requirements.txt

@@ -1,279 +1,16 @@
-# This file was autogenerated by uv via the following command:
-#    uv pip compile pyproject.toml -o requirements.txt
-accelerate==1.1.1
-    # via framer (pyproject.toml)
-aiofiles==23.2.1
-    # via gradio
-annotated-types==0.7.0
-    # via pydantic
-anyio==4.6.2.post1
-    # via
-    #   gradio
-    #   httpx
-    #   starlette
-av==13.1.0
-    # via framer (pyproject.toml)
-certifi==2024.8.30
-    # via
-    #   httpcore
-    #   httpx
-    #   requests
-charset-normalizer==3.4.0
-    # via requests
-click==8.1.7
-    # via
-    #   typer
-    #   uvicorn
-colorlog==6.9.0
-    # via framer (pyproject.toml)
+accelerate
+av
+colorlog
 diffusers==0.24.0
-    # via framer (pyproject.toml)
-einops==0.8.0
-    # via framer (pyproject.toml)
-exceptiongroup==1.2.2
-    # via anyio
-fastapi==0.115.4
-    # via gradio
-ffmpy==0.4.0
-    # via gradio
-filelock==3.16.1
-    # via
-    #   diffusers
-    #   huggingface-hub
-    #   torch
-    #   transformers
-    #   triton
-fsspec==2024.10.0
-    # via
-    #   gradio-client
-    #   huggingface-hub
-    #   torch
-gradio==5.5.0
-    # via
-    #   framer (pyproject.toml)
-    #   spaces
-gradio-client==1.4.2
-    # via gradio
-h11==0.14.0
-    # via
-    #   httpcore
-    #   uvicorn
-hf-transfer==0.1.8
-    # via framer (pyproject.toml)
-httpcore==1.0.6
-    # via httpx
-httpx==0.27.2
-    # via
-    #   gradio
-    #   gradio-client
-    #   safehttpx
-    #   spaces
-huggingface-hub==0.25.2
-    # via
-    #   framer (pyproject.toml)
-    #   accelerate
-    #   diffusers
-    #   gradio
-    #   gradio-client
-    #   tokenizers
-    #   transformers
-idna==3.10
-    # via
-    #   anyio
-    #   httpx
-    #   requests
-imageio==2.36.0
-    # via framer (pyproject.toml)
-importlib-metadata==8.5.0
-    # via diffusers
-jinja2==3.1.4
-    # via
-    #   gradio
-    #   torch
-markdown-it-py==3.0.0
-    # via rich
-markupsafe==2.1.5
-    # via
-    #   gradio
-    #   jinja2
-mdurl==0.1.2
-    # via markdown-it-py
-mpmath==1.3.0
-    # via sympy
-networkx==3.4.2
-    # via torch
-numpy==1.24.3
-    # via
-    #   accelerate
-    #   diffusers
-    #   gradio
-    #   imageio
-    #   opencv-python
-    #   pandas
-    #   scipy
-    #   torchvision
-    #   transformers
-nvidia-cublas-cu12==12.1.3.1
-    # via
-    #   nvidia-cudnn-cu12
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-cuda-cupti-cu12==12.1.105
-    # via torch
-nvidia-cuda-nvrtc-cu12==12.1.105
-    # via torch
-nvidia-cuda-runtime-cu12==12.1.105
-    # via torch
-nvidia-cudnn-cu12==9.1.0.70
-    # via torch
-nvidia-cufft-cu12==11.0.2.54
-    # via torch
-nvidia-curand-cu12==10.3.2.106
-    # via torch
-nvidia-cusolver-cu12==11.4.5.107
-    # via torch
-nvidia-cusparse-cu12==12.1.0.106
-    # via
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-nccl-cu12==2.20.5
-    # via torch
-nvidia-nvjitlink-cu12==12.6.77
-    # via
-    #   nvidia-cusolver-cu12
-    #   nvidia-cusparse-cu12
-nvidia-nvtx-cu12==12.1.105
-    # via torch
-opencv-python==4.10.0.84
-    # via framer (pyproject.toml)
-orjson==3.10.11
-    # via gradio
-packaging==24.2
-    # via
-    #   accelerate
-    #   gradio
-    #   gradio-client
-    #   huggingface-hub
-    #   spaces
-    #   transformers
-pandas==2.2.3
-    # via gradio
-pillow==11.0.0
-    # via
-    #   diffusers
-    #   gradio
-    #   imageio
-    #   torchvision
-psutil==5.9.8
-    # via
-    #   accelerate
-    #   spaces
-pydantic==2.9.2
-    # via
-    #   fastapi
-    #   gradio
-    #   spaces
-pydantic-core==2.23.4
-    # via pydantic
-pydub==0.25.1
-    # via gradio
-pygments==2.18.0
-    # via rich
-python-dateutil==2.9.0.post0
-    # via pandas
-python-multipart==0.0.12
-    # via gradio
-pytz==2024.2
-    # via pandas
-pyyaml==6.0.2
-    # via
-    #   accelerate
-    #   gradio
-    #   huggingface-hub
-    #   transformers
-regex==2024.11.6
-    # via
-    #   diffusers
-    #   transformers
-requests==2.32.3
-    # via
-    #   diffusers
-    #   huggingface-hub
-    #   spaces
-    #   transformers
-rich==13.9.4
-    # via typer
-ruff==0.7.3
-    # via gradio
-safehttpx==0.1.1
-    # via gradio
-safetensors==0.4.5
-    # via
-    #   accelerate
-    #   diffusers
-    #   transformers
-scipy==1.14.1
-    # via framer (pyproject.toml)
-semantic-version==2.10.0
-    # via gradio
-shellingham==1.5.4
-    # via typer
-six==1.16.0
-    # via python-dateutil
-sniffio==1.3.1
-    # via
-    #   anyio
-    #   httpx
-spaces==0.30.4
-    # via framer (pyproject.toml)
-starlette==0.41.2
-    # via
-    #   fastapi
-    #   gradio
-sympy==1.13.3
-    # via torch
-tokenizers==0.20.3
-    # via transformers
-tomlkit==0.12.0
-    # via gradio
-torch==2.4.0
-    # via
-    #   framer (pyproject.toml)
-    #   accelerate
-    #   torchvision
-torchvision==0.19.0
-    # via framer (pyproject.toml)
-tqdm==4.67.0
-    # via
-    #   huggingface-hub
-    #   transformers
+einops
+gradio==5.49.1
+hf-transfer
+huggingface-hub
+imageio
+numpy
+opencv-python
+scipy
+spaces
+torch==2.10.0
+torchvision==0.25.0
 transformers==4.46.2
-    # via framer (pyproject.toml)
-triton==3.0.0
-    # via torch
-typer==0.13.0
-    # via gradio
-typing-extensions==4.12.2
-    # via
-    #   anyio
-    #   fastapi
-    #   gradio
-    #   gradio-client
-    #   huggingface-hub
-    #   pydantic
-    #   pydantic-core
-    #   rich
-    #   spaces
-    #   torch
-    #   typer
-    #   uvicorn
-tzdata==2024.2
-    # via pandas
-urllib3==2.2.3
-    # via requests
-uvicorn==0.32.0
-    # via gradio
-websockets==12.0
-    # via gradio-client
-zipp==3.21.0
-    # via importlib-metadata